Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	193272
Missing cells	113396
Missing cells (%)	3.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	21.0 MiB
Average record size in memory	114.0 B

Variable types

Numeric	6
Categorical	8
Boolean	2

Alerts

`is_retweet` has constant value "False"	Constant
`user_name` has a high cardinality: 75869 distinct values	High cardinality
`user_location` has a high cardinality: 23054 distinct values	High cardinality
`user_description` has a high cardinality: 73957 distinct values	High cardinality
`user_created` has a high cardinality: 77112 distinct values	High cardinality
`date` has a high cardinality: 187514 distinct values	High cardinality
`text` has a high cardinality: 191553 distinct values	High cardinality
`hashtags` has a high cardinality: 52470 distinct values	High cardinality
`source` has a high cardinality: 334 distinct values	High cardinality
`user_friends` is highly correlated with `user_favourites`	High correlation
`user_favourites` is highly correlated with `user_friends`	High correlation
`retweets` is highly correlated with `favorites`	High correlation
`favorites` is highly correlated with `retweets`	High correlation
`retweets` is highly correlated with `favorites`	High correlation
`favorites` is highly correlated with `retweets`	High correlation
`user_friends` is highly correlated with `user_favourites`	High correlation
`user_favourites` is highly correlated with `user_friends`	High correlation
`retweets` is highly correlated with `favorites`	High correlation
`favorites` is highly correlated with `retweets`	High correlation
`user_verified` is highly correlated with `is_retweet`	High correlation
`is_retweet` is highly correlated with `user_verified`	High correlation
`retweets` is highly correlated with `favorites`	High correlation
`favorites` is highly correlated with `retweets`	High correlation
`user_location` has 58573 (30.3%) missing values	Missing
`user_description` has 13730 (7.1%) missing values	Missing
`hashtags` has 40973 (21.2%) missing values	Missing
`user_friends` is highly skewed (γ1 = 41.73075676)	Skewed
`retweets` is highly skewed (γ1 = 133.5361123)	Skewed
`favorites` is highly skewed (γ1 = 77.54535765)	Skewed
`date` is uniformly distributed	Uniform
`text` is uniformly distributed	Uniform
`id` has unique values	Unique
`user_friends` has 23193 (12.0%) zeros	Zeros
`user_favourites` has 8692 (4.5%) zeros	Zeros
`retweets` has 144849 (74.9%) zeros	Zeros
`favorites` has 101340 (52.4%) zeros	Zeros

Reproduction

Analysis started	2021-10-30 23:04:41.907294
Analysis finished	2021-10-30 23:05:33.911031
Duration	52 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

id
Real number (ℝ_≥0)

UNIQUE

Distinct	193272
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.399486344 × 10¹⁸

Minimum	1.337727768 × 10¹⁸
Maximum	1.440388348 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1.337727768 × 10¹⁸
5-th percentile	1.362014467 × 10¹⁸
Q1	1.379804354 × 10¹⁸
median	1.402808652 × 10¹⁸
Q3	1.418841921 × 10¹⁸
95-th percentile	1.434428058 × 10¹⁸
Maximum	1.440388348 × 10¹⁸
Range	1.026605806 × 10¹⁷
Interquartile range (IQR)	3.903756724 × 10¹⁶

Descriptive statistics

Standard deviation	2.382255178 × 10¹⁶
Coefficient of variation (CV)	0.01702235386
Kurtosis	-0.9124554159
Mean	1.399486344 × 10¹⁸
Median Absolute Deviation (MAD)	2.026173309 × 10¹⁶
Skewness	-0.2549031865
Sum	-3.083629839 × 10¹⁸
Variance	5.675139732 × 10³²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.377661711 × 10¹⁸	1	< 0.1%
1.37755881 × 10¹⁸	1	< 0.1%
1.430252041 × 10¹⁸	1	< 0.1%
1.42017988 × 10¹⁸	1	< 0.1%
1.379588009 × 10¹⁸	1	< 0.1%
1.429402915 × 10¹⁸	1	< 0.1%
1.382713297 × 10¹⁸	1	< 0.1%
1.359931436 × 10¹⁸	1	< 0.1%
1.372263586 × 10¹⁸	1	< 0.1%
1.403564962 × 10¹⁸	1	< 0.1%
Other values (193262)	193262	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.337727768 × 10¹⁸	1	< 0.1%
1.337728702 × 10¹⁸	1	< 0.1%
1.337732077 × 10¹⁸	1	< 0.1%
1.337732996 × 10¹⁸	1	< 0.1%
1.337733049 × 10¹⁸	1	< 0.1%
1.337733857 × 10¹⁸	1	< 0.1%
1.337733928 × 10¹⁸	1	< 0.1%
1.33773407 × 10¹⁸	1	< 0.1%
1.337735596 × 10¹⁸	1	< 0.1%
1.337739608 × 10¹⁸	1	< 0.1%

Value	Count	Frequency (%)
1.440388348 × 10¹⁸	1	< 0.1%
1.440387788 × 10¹⁸	1	< 0.1%
1.440387179 × 10¹⁸	1	< 0.1%
1.440385611 × 10¹⁸	1	< 0.1%
1.440385512 × 10¹⁸	1	< 0.1%
1.440385429 × 10¹⁸	1	< 0.1%
1.440384772 × 10¹⁸	1	< 0.1%
1.440384657 × 10¹⁸	1	< 0.1%
1.440383372 × 10¹⁸	1	< 0.1%
1.440383191 × 10¹⁸	1	< 0.1%

user_name
Categorical

HIGH CARDINALITY

Distinct	75869
Distinct (%)	39.3%
Missing	1
Missing (%)	< 0.1%
Memory size	1.5 MiB

CowinBangalore	11495
CoWIN Blore 18-44	8879
Owl 🦉	6570
VaxBLR	3804
Workout Solutions	2251
Other values (75864)	160272

Length

Max length	50
Median length	13
Mean length	13.74027661
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57481 ?
Unique (%)	29.7%

Sample

1st row	Rachel Roh
2nd row	Albert Fong
3rd row	eli🇱🇹🇪🇺👌
4th row	Charles Adler
5th row	Citizen News Channel

Common Values

Value	Count	Frequency (%)
CowinBangalore	11495	5.9%
CoWIN Blore 18-44	8879	4.6%
Owl 🦉	6570	3.4%
VaxBLR	3804	2.0%
Workout Solutions	2251	1.2%
Owl🦉	1956	1.0%
eLéPhunk	688	0.4%
Xukki🌍	614	0.3%
Sputnik V	443	0.2%
China Economy	402	0.2%
Other values (75859)	156169	80.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cowinbangalore	11495	2.8%
blore	8884	2.2%
cowin	8881	2.2%
18-44	8879	2.2%
owl	6579	1.6%
🦉	6575	1.6%
the	4555	1.1%
news	4082	1.0%
	3952	1.0%
vaxblr	3804	0.9%
Other values (71995)	339537	83.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

user_location
Categorical

HIGH CARDINALITY
MISSING

Distinct	23054
Distinct (%)	17.1%
Missing	58573
Missing (%)	30.3%
Memory size	1.5 MiB

Bengaluru, India	13397
India	6690
Toronto, Canada and Worldwide	2619
New Delhi, India	2598
Mumbai, India	1670
Other values (23049)	107725

Length

Max length	135
Median length	14
Mean length	14.30746331
Min length	1

Characters and Unicode

Total characters	22
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15155 ?
Unique (%)	11.3%

Sample

1st row	La Crescenta-Montrose, CA
2nd row	San Francisco, CA
3rd row	Your Bed
4th row	Vancouver, BC - Canada
5th row	Birmingham, England

Common Values

Value	Count	Frequency (%)
Bengaluru, India	13397	6.9%
India	6690	3.5%
Toronto, Canada and Worldwide	2619	1.4%
New Delhi, India	2598	1.3%
Mumbai, India	1670	0.9%
United States	1652	0.9%
New Delhi	1037	0.5%
Sri Lanka	1036	0.5%
Beijing, China	919	0.5%
Mumbai	859	0.4%
Other values (23044)	102222	52.9%
(Missing)	58573	30.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
india	33916	11.8%
bengaluru	13905	4.8%
new	6860	2.4%
delhi	5762	2.0%
canada	5146	1.8%
usa	5089	1.8%
toronto	4250	1.5%
united	3930	1.4%
and	3484	1.2%
	3383	1.2%
Other values (16753)	201230	70.1%

Most occurring characters

Value	Count	Frequency (%)
	22	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	22	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	22	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22	100.0%

user_description
Categorical

HIGH CARDINALITY
MISSING

Distinct	73957
Distinct (%)	41.2%
Missing	13730
Missing (%)	7.1%
Memory size	1.5 MiB

Follow us to get update as soon as 18 plus vaccine appointments open up in Bangalore & Covaxin for 45+ #TwitterBot Telegram: https://t.co/WavSl590z5	11418
Get instant alerts for Free/Paid slots in BBMP, Bangalore Urban centers https://t.co/Vh4GH7Bb21	8854
follow for updates on 18-44 vaccination availability in Mumbai/Thane \| #MumbaiCOVAXIN #ThaneCOVAXIN #MumbaiCOVISHIELD	4827
Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	3803
George Tsanis – Workout Solutions Health and Fitness Consultants since 1996 – One-on-one and online distance coaching – Toronto, Canada, World	2619
Other values (73952)	148021

Length

Max length	248
Median length	116
Mean length	106.6371211
Min length	1

Characters and Unicode

Total characters	104470
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57512 ?
Unique (%)	32.0%

Sample

1st row	Aggregator of Asian American news; scanning diverse sources 24/7/365. RT's, Follows and 'Likes' will fuel me 👩‍💻
2nd row	Marketing dude, tech geek, heavy metal & '80s music junkie. Fascinated by meteorology and all things in the cloud. Opinions are my own.
3rd row	heil, hydra 🖐☺
4th row	Hosting "CharlesAdlerTonight" Global News Radio Network. Weeknights 7 Pacific-10 Eastern - Email comments/ideas to charles@charlesadlertonight.ca
5th row	Citizen News Channel bringing you an alternative news source from citizen journalists that haven't sold out. Real news & real views

Common Values

Value	Count	Frequency (%)
Follow us to get update as soon as 18 plus vaccine appointments open up in Bangalore & Covaxin for 45+ #TwitterBot Telegram: https://t.co/WavSl590z5	11418	5.9%
Get instant alerts for Free/Paid slots in BBMP, Bangalore Urban centers https://t.co/Vh4GH7Bb21	8854	4.6%
follow for updates on 18-44 vaccination availability in Mumbai/Thane \| #MumbaiCOVAXIN #ThaneCOVAXIN #MumbaiCOVISHIELD	4827	2.5%
Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	3803	2.0%
George Tsanis – Workout Solutions Health and Fitness Consultants since 1996 – One-on-one and online distance coaching – Toronto, Canada, World	2619	1.4%
follow for updates on 18-44 vaccination availability in Gurgaon \| Search: #GurgaonCOVISHIELD #GurgaonCOVAXIN	1831	0.9%
follow for updates on 18-44 vaccination availability in Pune	1697	0.9%
Latest business news and valuable information from China.	402	0.2%
Sputnik is a global wire, radio and digital news service. We exist to tell the stories that aren’t being told.	384	0.2%
News https://t.co/655UNA7k59 https://t.co/rpTzREEniO	368	0.2%
Other values (73947)	143339	74.2%
(Missing)	13730	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	120590	4.4%
and	60102	2.2%
in	54877	2.0%
for	49618	1.8%
the	46342	1.7%
of	38557	1.4%
to	37930	1.4%
a	27739	1.0%
on	26369	1.0%
as	26345	1.0%
Other values (156353)	2271727	82.3%

Most occurring characters

Value	Count	Frequency (%)
	104470	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	104470	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	104470	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	104470	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	104470	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	104470	100.0%

user_created
Categorical

HIGH CARDINALITY

Distinct	77112
Distinct (%)	39.9%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

2021-05-17 18:56:45	11678
2021-06-29 09:33:13	8879
2021-05-26 19:13:22	4851
2021-06-21 08:44:34	3804
2010-09-20 17:01:08	2619
Other values (77107)	161441

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	59192 ?
Unique (%)	30.6%

Sample

1st row	2009-04-08 17:52:46
2nd row	2009-09-21 15:27:30
3rd row	2020-06-25 23:30:28
4th row	2008-09-10 11:28:53
5th row	2020-04-23 17:58:42

Common Values

Value	Count	Frequency (%)
2021-05-17 18:56:45	11678	6.0%
2021-06-29 09:33:13	8879	4.6%
2021-05-26 19:13:22	4851	2.5%
2021-06-21 08:44:34	3804	2.0%
2010-09-20 17:01:08	2619	1.4%
2021-05-22 15:14:51	1851	1.0%
2021-05-23 16:18:16	1719	0.9%
2014-05-16 04:25:35	688	0.4%
2020-05-21 15:54:09	641	0.3%
2020-08-11 09:12:38	443	0.2%
Other values (77102)	156099	80.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-05-17	11752	3.0%
18:56:45	11679	3.0%
2021-06-29	8910	2.3%
09:33:13	8881	2.3%
2021-05-26	4890	1.3%
19:13:22	4852	1.3%
2021-06-21	3847	1.0%
08:44:34	3806	1.0%
2010-09-20	2663	0.7%
17:01:08	2623	0.7%
Other values (55826)	322641	83.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

user_followers
Real number (ℝ_≥0)

Distinct	20166
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	92187.41612

Minimum	0
Maximum	16069626
Zeros	1808
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	69
median	362
Q3	1551
95-th percentile	63059
Maximum	16069626
Range	16069626
Interquartile range (IQR)	1482

Descriptive statistics

Standard deviation	807928.9225
Coefficient of variation (CV)	8.763982727
Kurtosis	195.9178955
Mean	92187.41612
Median Absolute Deviation (MAD)	345
Skewness	13.0618653
Sum	1.781724629 × 10¹⁰
Variance	6.527491438 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	3628	1.9%
18	2152	1.1%
23	2115	1.1%
1102	2033	1.1%
22	2002	1.0%
1070	1850	1.0%
0	1808	0.9%
1116	1722	0.9%
1058	1626	0.8%
1	1589	0.8%
Other values (20156)	172747	89.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1808	0.9%
1	1589	0.8%
2	1167	0.6%
3	1241	0.6%
4	956	0.5%
5	1138	0.6%
6	819	0.4%
7	878	0.5%
8	842	0.4%
9	1414	0.7%

Value	Count	Frequency (%)
16069626	2	< 0.1%
16047043	1	< 0.1%
16023520	1	< 0.1%
16015790	1	< 0.1%
16015787	2	< 0.1%
16012833	1	< 0.1%
15996753	1	< 0.1%
15984227	1	< 0.1%
15980770	1	< 0.1%
15972684	1	< 0.1%

user_friends
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	7718
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	991.3018854

Minimum	0
Maximum	582461
Zeros	23193
Zeros (%)	12.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	30
median	236
Q3	800
95-th percentile	4074
Maximum	582461
Range	582461
Interquartile range (IQR)	770

Descriptive statistics

Standard deviation	5334.092691
Coefficient of variation (CV)	5.380896344
Kurtosis	2693.408941
Mean	991.3018854
Median Absolute Deviation (MAD)	234
Skewness	41.73075676
Sum	191590898
Variance	28452544.83
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	23193	12.0%
2	12272	6.3%
3	1171	0.6%
1	861	0.4%
236	755	0.4%
6	703	0.4%
25	620	0.3%
10	552	0.3%
45	547	0.3%
7	532	0.3%
Other values (7708)	152066	78.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	23193	12.0%
1	861	0.4%
2	12272	6.3%
3	1171	0.6%
4	464	0.2%
5	428	0.2%
6	703	0.4%
7	532	0.3%
8	499	0.3%
9	376	0.2%

Value	Count	Frequency (%)
582461	1	< 0.1%
516578	1	< 0.1%
383838	1	< 0.1%
380428	1	< 0.1%
380362	2	< 0.1%
380353	1	< 0.1%
380265	1	< 0.1%
300550	1	< 0.1%
279217	1	< 0.1%
278206	1	< 0.1%

user_favourites
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	35188
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11999.53491

Minimum	0
Maximum	1221784
Zeros	8692
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	57
median	1005
Q3	7324
95-th percentile	59290.45
Maximum	1221784
Range	1221784
Interquartile range (IQR)	7267

Descriptive statistics

Standard deviation	38962.80402
Coefficient of variation (CV)	3.247026181
Kurtosis	143.6277624
Mean	11999.53491
Median Absolute Deviation (MAD)	1004
Skewness	9.47313346
Sum	2319174112
Variance	1518100097
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	9866	5.1%
0	8692	4.5%
2	7402	3.8%
57	5022	2.6%
58	4769	2.5%
55	1356	0.7%
3	867	0.4%
4	854	0.4%
53	773	0.4%
2182	640	0.3%
Other values (35178)	153031	79.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8692	4.5%
1	9866	5.1%
2	7402	3.8%
3	867	0.4%
4	854	0.4%
5	505	0.3%
6	434	0.2%
7	459	0.2%
8	377	0.2%
9	320	0.2%

Value	Count	Frequency (%)
1221784	1	< 0.1%
1214813	1	< 0.1%
1213794	1	< 0.1%
1205878	1	< 0.1%
1172284	1	< 0.1%
1166459	1	< 0.1%
956184	1	< 0.1%
948246	1	< 0.1%
947901	1	< 0.1%
946118	2	< 0.1%

user_verified
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	188.9 KiB

False	176937
True	16335

Common Values
Chart

Value	Count	Frequency (%)
False	176937	91.5%
True	16335	8.5%

date
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	187514
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

2021-06-30 04:30:00	6
2021-06-18 13:13:23	6
2021-06-18 16:50:32	5
2021-06-24 09:41:12	4
2021-06-24 18:30:32	4
Other values (187509)	193247

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	182187 ?
Unique (%)	94.3%

Sample

1st row	2020-12-20 06:06:44
2nd row	2020-12-13 16:27:13
3rd row	2020-12-12 20:33:45
4th row	2020-12-12 20:23:59
5th row	2020-12-12 20:17:19

Common Values

Value	Count	Frequency (%)
2021-06-30 04:30:00	6	< 0.1%
2021-06-18 13:13:23	6	< 0.1%
2021-06-18 16:50:32	5	< 0.1%
2021-06-24 09:41:12	4	< 0.1%
2021-06-24 18:30:32	4	< 0.1%
2021-07-16 19:07:33	4	< 0.1%
2021-06-24 09:41:19	4	< 0.1%
2021-06-25 00:30:28	4	< 0.1%
2021-07-19 12:18:56	4	< 0.1%
2021-07-19 12:17:01	4	< 0.1%
Other values (187504)	193227	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-03-01	2911	0.8%
2021-06-29	2626	0.7%
2021-07-19	2482	0.6%
2021-04-21	2423	0.6%
2021-06-30	2414	0.6%
2021-07-23	2372	0.6%
2021-06-23	2225	0.6%
2021-06-22	2153	0.6%
2021-04-12	2049	0.5%
2021-06-25	2024	0.5%
Other values (74278)	362865	93.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

text
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	191553
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Got my second dose of the #Moderna #vaccine today!! 💉💉	16
@naashonomics #Covaxin #Ocgn #OCGN #DeltaVariant $ocgn LETS KICK THE DELTA VARIANT'S ASS IN EVERY COUNTRY!!!	11
@POTUS Approve #COVAXIN	8
BREAKING NEWS : #SputnikV approved for emergency use in India.	6
@POTUS I’ll get vaccinated when you allow #Covaxin to be used in the USA. We need alternatives especially those that work.	5
Other values (191548)	193226

Length

Max length	162
Median length	139
Mean length	124.3028737
Min length	13

Characters and Unicode

Total characters	225746
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	190130 ?
Unique (%)	98.4%

Sample

1st row	Same folks said daikon paste could treat a cytokine storm #PfizerBioNTech https://t.co/xeHhIMg1kF
2nd row	While the world has been on the wrong side of history this year, hopefully, the biggest vaccination effort we've ev… https://t.co/dlCHrZjkhm
3rd row	#coronavirus #SputnikV #AstraZeneca #PfizerBioNTech #Moderna #Covid_19 Russian vaccine is created to last 2-4 years… https://t.co/ieYlCKBr8P
4th row	Facts are immutable, Senator, even when you're not ethically sturdy enough to acknowledge them. (1) You were born i… https://t.co/jqgV18kch4
5th row	Explain to me again why we need a vaccine @BorisJohnson @MattHancock #whereareallthesickpeople #PfizerBioNTech… https://t.co/KxbSRoBEHq

Common Values

Value	Count	Frequency (%)
Got my second dose of the #Moderna #vaccine today!! 💉💉	16	< 0.1%
@naashonomics #Covaxin #Ocgn #OCGN #DeltaVariant $ocgn LETS KICK THE DELTA VARIANT'S ASS IN EVERY COUNTRY!!!	11	< 0.1%
@POTUS Approve #COVAXIN	8	< 0.1%
BREAKING NEWS : #SputnikV approved for emergency use in India.	6	< 0.1%
@POTUS I’ll get vaccinated when you allow #Covaxin to be used in the USA. We need alternatives especially those that work.	5	< 0.1%
#Moderna #Vaccine in #India soon. #CIPLA gets clearance to import #Vaccine for emergency use authorisation in #India.	5	< 0.1%
560057, AGE 45+ 0-D1, 44-D2 slots, #COVAXIN on 18-06-2021 @ NEL COVAXIN(Free) #BBMP	5	< 0.1%
560027, AGE 45+ 99-D1, 100-D2 slots, #COVAXIN on 22-07-2021 @ Agadi HOSPITAL AND RESEARCH(1410Rs) #BBMP	5	< 0.1%
560076, AGE 45+ 99-D1, 100-D2 slots, #COVAXIN on 27-07-2021 @ Rainbow Royal Meenakshi MallC1(1410Rs) #BBMP	5	< 0.1%
@Reuters Do you know the meaning of “V” in the name of the first Russian vaccine- #SputnikV? “V” for Victory. Victory over the #pandemic.	5	< 0.1%
Other values (191543)	193201	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	78794	2.4%
covaxin	59677	1.8%
of	54074	1.7%
to	51383	1.6%
	50288	1.5%
vaccine	47493	1.5%
and	42206	1.3%
moderna	40014	1.2%
in	36290	1.1%
for	34004	1.0%
Other values (301848)	2753724	84.8%

Most occurring characters

Value	Count	Frequency (%)
	225746	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	225746	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	225746	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	225746	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	225746	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	225746	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	225746	100.0%

hashtags
Categorical

HIGH CARDINALITY
MISSING

Distinct	52470
Distinct (%)	34.5%
Missing	40973
Missing (%)	21.2%
Memory size	1.5 MiB

['COVAXIN', 'BBMP']	11113
['Moderna']	8995
['COVAXIN']	8746
['Covaxin']	7033
['SputnikV']	5106
Other values (52465)	111306

Length

Max length	143
Median length	22
Mean length	28.85611199
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45633 ?
Unique (%)	30.0%

Sample

1st row	['PfizerBioNTech']
2nd row	['coronavirus', 'SputnikV', 'AstraZeneca', 'PfizerBioNTech', 'Moderna', 'Covid_19']
3rd row	['whereareallthesickpeople', 'PfizerBioNTech']
4th row	['vaccination']
5th row	['BidenHarris', 'Election2020']

Common Values

Value	Count	Frequency (%)
['COVAXIN', 'BBMP']	11113	5.7%
['Moderna']	8995	4.7%
['COVAXIN']	8746	4.5%
['Covaxin']	7033	3.6%
['SputnikV']	5106	2.6%
['Sinopharm']	2589	1.3%
['Sinovac']	2275	1.2%
['moderna']	2108	1.1%
['BBMP', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	1669	0.9%
['COVID19']	1562	0.8%
Other values (52460)	101103	52.3%
(Missing)	40973	21.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
covaxin	48314	13.7%
moderna	36960	10.4%
covid19	16747	4.7%
sputnikv	13543	3.8%
bbmp	12930	3.7%
vaccine	11821	3.3%
pfizer	10199	2.9%
sinovac	9591	2.7%
covidvaccine	9322	2.6%
covishield	8213	2.3%
Other values (23656)	176181	49.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

source
Categorical

HIGH CARDINALITY

Distinct	334
Distinct (%)	0.2%
Missing	119
Missing (%)	0.1%
Memory size	1.5 MiB

Twitter for Android	50087
Twitter Web App	48214
Twitter for iPhone	41912
cowin_vaccine_app	11670
Cowin Vaccination Availability	8525
Other values (329)	32745

Length

Max length	32
Median length	18
Mean length	16.91357111
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	95 ?
Unique (%)	< 0.1%

Sample

1st row	Twitter for Android
2nd row	Twitter Web App
3rd row	Twitter for Android
4th row	Twitter Web App
5th row	Twitter for iPhone

Common Values

Value	Count	Frequency (%)
Twitter for Android	50087	25.9%
Twitter Web App	48214	24.9%
Twitter for iPhone	41912	21.7%
cowin_vaccine_app	11670	6.0%
Cowin Vaccination Availability	8525	4.4%
CowinAlertsBot	7945	4.1%
TweetDeck	6231	3.2%
VaxBlr	3804	2.0%
Twitter for iPad	2592	1.3%
Instagram	2091	1.1%
Other values (324)	10082	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
twitter	143763	28.5%
for	95031	18.9%
android	50250	10.0%
app	48810	9.7%
web	48241	9.6%
iphone	41916	8.3%
cowin_vaccine_app	11670	2.3%
cowin	8534	1.7%
vaccination	8525	1.7%
availability	8525	1.7%
Other values (429)	38513	7.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

retweets
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	412
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.419600356

Minimum	0
Maximum	11288
Zeros	144849
Zeros (%)	74.9%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	6
Maximum	11288
Range	11288
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	45.74607252
Coefficient of variation (CV)	18.906458
Kurtosis	26201.73493
Mean	2.419600356
Median Absolute Deviation (MAD)	0
Skewness	133.5361123
Sum	467641
Variance	2092.703151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	144849	74.9%
1	22348	11.6%
2	7839	4.1%
3	4206	2.2%
4	2602	1.3%
5	1683	0.9%
6	1275	0.7%
7	954	0.5%
8	827	0.4%
9	615	0.3%
Other values (402)	6074	3.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	144849	74.9%
1	22348	11.6%
2	7839	4.1%
3	4206	2.2%
4	2602	1.3%
5	1683	0.9%
6	1275	0.7%
7	954	0.5%
8	827	0.4%
9	615	0.3%

Value	Count	Frequency (%)
11288	1	< 0.1%
7695	1	< 0.1%
6018	1	< 0.1%
4851	1	< 0.1%
4105	1	< 0.1%
2550	1	< 0.1%
2360	1	< 0.1%
2299	1	< 0.1%
2294	1	< 0.1%
2247	1	< 0.1%

favorites
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	914
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.45960615

Minimum	0
Maximum	25724
Zeros	101340
Zeros (%)	52.4%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	23
Maximum	25724
Range	25724
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	162.2354804
Coefficient of variation (CV)	15.51066819
Kurtosis	8698.016319
Mean	10.45960615
Median Absolute Deviation (MAD)	0
Skewness	77.54535765
Sum	2021549
Variance	26320.3511
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	101340	52.4%
1	32825	17.0%
2	14103	7.3%
3	8155	4.2%
4	5325	2.8%
5	3794	2.0%
6	2937	1.5%
7	2301	1.2%
8	1911	1.0%
9	1490	0.8%
Other values (904)	19091	9.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	101340	52.4%
1	32825	17.0%
2	14103	7.3%
3	8155	4.2%
4	5325	2.8%
5	3794	2.0%
6	2937	1.5%
7	2301	1.2%
8	1911	1.0%
9	1490	0.8%

Value	Count	Frequency (%)
25724	1	< 0.1%
22815	1	< 0.1%
19622	1	< 0.1%
15944	1	< 0.1%
15148	1	< 0.1%
14412	1	< 0.1%
13570	1	< 0.1%
12386	1	< 0.1%
11995	1	< 0.1%
10175	1	< 0.1%

is_retweet
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	188.9 KiB

False	193272

Common Values
Chart

Value	Count	Frequency (%)
False	193272	100.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	user_name	user_location	user_description	user_created	user_followers	user_friends	user_favourites	user_verified	date	text	hashtags	source	retweets	favorites	is_retweet
0	1340539111971516416	Rachel Roh	La Crescenta-Montrose, CA	Aggregator of Asian American news; scanning diverse sources 24/7/365. RT's, Follows and 'Likes' will fuel me 👩‍💻	2009-04-08 17:52:46	405	1692	3247	False	2020-12-20 06:06:44	Same folks said daikon paste could treat a cytokine storm #PfizerBioNTech https://t.co/xeHhIMg1kF	['PfizerBioNTech']	Twitter for Android	0	0	False
1	1338158543359250433	Albert Fong	San Francisco, CA	Marketing dude, tech geek, heavy metal & '80s music junkie. Fascinated by meteorology and all things in the cloud. Opinions are my own.	2009-09-21 15:27:30	834	666	178	False	2020-12-13 16:27:13	While the world has been on the wrong side of history this year, hopefully, the biggest vaccination effort we've ev… https://t.co/dlCHrZjkhm	NaN	Twitter Web App	1	1	False
2	1337858199140118533	eli🇱🇹🇪🇺👌	Your Bed	heil, hydra 🖐☺	2020-06-25 23:30:28	10	88	155	False	2020-12-12 20:33:45	#coronavirus #SputnikV #AstraZeneca #PfizerBioNTech #Moderna #Covid_19 Russian vaccine is created to last 2-4 years… https://t.co/ieYlCKBr8P	['coronavirus', 'SputnikV', 'AstraZeneca', 'PfizerBioNTech', 'Moderna', 'Covid_19']	Twitter for Android	0	0	False
3	1337855739918835717	Charles Adler	Vancouver, BC - Canada	Hosting "CharlesAdlerTonight" Global News Radio Network. Weeknights 7 Pacific-10 Eastern - Email comments/ideas to charles@charlesadlertonight.ca	2008-09-10 11:28:53	49165	3933	21853	True	2020-12-12 20:23:59	Facts are immutable, Senator, even when you're not ethically sturdy enough to acknowledge them. (1) You were born i… https://t.co/jqgV18kch4	NaN	Twitter Web App	446	2129	False
4	1337854064604966912	Citizen News Channel	NaN	Citizen News Channel bringing you an alternative news source from citizen journalists that haven't sold out. Real news & real views	2020-04-23 17:58:42	152	580	1473	False	2020-12-12 20:17:19	Explain to me again why we need a vaccine @BorisJohnson @MattHancock #whereareallthesickpeople #PfizerBioNTech… https://t.co/KxbSRoBEHq	['whereareallthesickpeople', 'PfizerBioNTech']	Twitter for iPhone	0	0	False
5	1337852648389832708	Dee	Birmingham, England	Gastroenterology trainee, Clinical Research Fellow in IBD, mother to human and fur baby, Canadian in Britain	2020-01-26 21:43:12	105	108	106	False	2020-12-12 20:11:42	Does anyone have any useful advice/guidance for whether the COVID vaccine is safe whilst breastfeeding?… https://t.co/EifsyQoeKN	NaN	Twitter for iPhone	0	0	False
6	1337851215875608579	Gunther Fehlinger	Austria, Ukraine and Kosovo	End North Stream 2 now - the pipeline of corruption, funding Russias war against Ukraine,Georgia, Syria and political intervention in USA and EU must be stopped	2013-06-10 17:49:22	2731	5001	69344	False	2020-12-12 20:06:00	it is a bit sad to claim the fame for success of #vaccination on patriotic competition between USA, Canada, UK and… https://t.co/IfMrAyGyTP	['vaccination']	Twitter Web App	0	4	False
7	1337850832256176136	Dr.Krutika Kuppalli	NaN	ID, Global Health, VHF, Pandemic Prep, Emerging Infections, & Health Policy MD\| U.S. Congress COVID-19 expert witness x 2 \| ELBI 2020 @JHSPH_CHS	2019-03-25 04:14:29	21924	593	7815	True	2020-12-12 20:04:29	There have not been many bright days in 2020 but here are some of the best \n1. #BidenHarris winning #Election2020… https://t.co/77u4f8XXfx	['BidenHarris', 'Election2020']	Twitter for iPhone	2	22	False
8	1337850023531347969	Erin Despas	NaN	Designing&selling on Teespring. Like 90s Disney tv movies, old school WWE. Dislikes Intolerance, hate, bigots and snakes https://t.co/fa5n4gEHgR	2009-10-30 17:53:54	887	1515	9639	False	2020-12-12 20:01:16	Covid vaccine; You getting it?\n\n #CovidVaccine #covid19 #PfizerBioNTech #Moderna	['CovidVaccine', 'covid19', 'PfizerBioNTech', 'Moderna']	Twitter Web App	2	1	False
9	1337842295857623042	Ch.Amjad Ali	Islamabad	#ProudPakistani #LovePakArmy #PMIK @insafianspower1\n#PoliticalScience #InternationalAffairs \n#PAKUSTV #Newyork #Islamabad	2012-11-12 04:18:12	671	2368	20469	False	2020-12-12 19:30:33	#CovidVaccine \n\nStates will start getting #COVID19Vaccine Monday, #US says \n#pakustv #NYC #Healthcare #GlobalGoals… https://t.co/MksOvBvs5w	['CovidVaccine', 'COVID19Vaccine', 'US', 'pakustv', 'NYC', 'Healthcare', 'GlobalGoals']	Twitter Web App	0	0	False

Last rows

	id	user_name	user_location	user_description	user_created	user_followers	user_friends	user_favourites	user_verified	date	text	hashtags	source	retweets	favorites	is_retweet
193262	1437378129325002757	VaxBLR	Bengaluru, India	Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	2021-06-21 08:44:34	25	0	0	False	2021-09-13 11:30:25	18-44 #BBMP #Bengaluru #CovidVaccine Availability for 13/09 at 05:00PM\nFREE Slots \n#COVISHIELD - Dose1:955, Dose2:6… https://t.co/8oWeTDgipp	['BBMP', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	VaxBlr	0	1	False
193263	1437378083510571013	VaxBLR	Bengaluru, India	Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	2021-06-21 08:44:34	25	0	0	False	2021-09-13 11:30:14	18-44 #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 05:00PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose… https://t.co/QC3r2SfxUY	['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	VaxBlr	0	0	False
193264	1437374384214183941	Goel Medicos	8A/460, Durgapuri Extension, W	Basant Goel is the owner of Goel Medicos. He comes with experience of more than 20+ years and under his leadership has taken the pharmacy to new heights of succ	2021-08-06 10:45:25	2	2	0	False	2021-09-13 11:15:32	Sputnik Lite Trial Set To Begin in City Hospital \n\n#sputniknews #medical #pharmacy #covid19vaccine #medicine… https://t.co/aQKJQ5WbEZ	['sputniknews', 'medical', 'pharmacy', 'covid19vaccine', 'medicine']	Twitter Web App	0	0	False
193265	1437370550309904392	VaxBLR	Bengaluru, India	Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	2021-06-21 08:44:34	25	0	0	False	2021-09-13 11:00:18	45+ #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 04:30PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose1:… https://t.co/XRxnxa3d8w	['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	VaxBlr	0	0	False
193266	1437370445653848065	Alexander Alimov	Geneva, Switzerland	Дипломат средних талантов. Сейчас - зам. Постпреда России при ООН в Женеве/A modestly talented diplomat. Now - Russian Deputy Perm Rep to UN Office in Geneva	2019-04-23 16:54:17	1610	398	61970	True	2021-09-13 10:59:53	🇸🇲 FM Luca Beccari: ‘We settled on #SputnikV due to #EMA-approved vaccines supply delays for >2 months despite pre-… https://t.co/GHzGucDq1H	['SputnikV', 'EMA']	Twitter for iPhone	1	3	False
193267	1437363048310722566	VaxBLR	Bengaluru, India	Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	2021-06-21 08:44:34	25	0	0	False	2021-09-13 10:30:30	18-44 #BBMP #Bengaluru #CovidVaccine Availability for 13/09 at 04:00PM\nFREE Slots \n#COVISHIELD - Dose1:957, Dose2:1… https://t.co/dEUK2Sfgbk	['BBMP', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	VaxBlr	0	1	False
193268	1437363004245348352	VaxBLR	Bengaluru, India	Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	2021-06-21 08:44:34	25	0	0	False	2021-09-13 10:30:19	18-44 #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 04:00PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose… https://t.co/gKjBSGLmJA	['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	VaxBlr	0	0	False
193269	1437362257604849664	India Post	Fremont, CA, USA	Refresh yourself every morning with IndiaPost news coverage Use #IndiaPostNewsPaper to get featured\nContribute your articles here: https://t.co/hf43HgvGHr…	2009-03-24 20:03:31	670	723	17	False	2021-09-13 10:27:21	US Special Envoy for Climate ... - https://t.co/GhqageRfqn \nGet your news featured use #IndiaPostUSA… https://t.co/8iQUpPAqI8	['IndiaPostUSA']	IndiaPost	0	1	False
193270	1437361478026268680	India Post	Fremont, CA, USA	Refresh yourself every morning with IndiaPost news coverage Use #IndiaPostNewsPaper to get featured\nContribute your articles here: https://t.co/hf43HgvGHr…	2009-03-24 20:03:31	670	723	17	False	2021-09-13 10:24:15	India's cumulative COVID-19 vaccination coverage surpasses 74.38 cr - https://t.co/LqQAmaKTJp \nGet your news featur… https://t.co/crdty6qW5y	NaN	IndiaPost	0	0	False
193271	1437355448588398592	VaxBLR	Bengaluru, India	Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL	2021-06-21 08:44:34	25	0	0	False	2021-09-13 10:00:18	45+ #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 03:30PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose1:… https://t.co/OMVx8SNDXv	['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD']	VaxBlr	0	0	False

Overview

Variables

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Most occurring scripts

Most frequent character per script

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Common Values

Length

Most occurring characters

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Most frequent character per category

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Most frequent character per script

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Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

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Most frequent character per category

Control

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

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Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts